---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-137-071030d9b10c> in <module>
----> 1 sns.pairplot(toSearch,hue='flag_bad',kind='kde')
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\seaborn\_decorators.py in inner_f(*args, **kwargs)
44 )
45 kwargs.update({k: arg for k, arg in zip(sig.parameters, args)})
---> 46 return f(**kwargs)
47 return inner_f
48
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\seaborn\axisgrid.py in pairplot(data, hue, hue_order, palette, vars, x_vars, y_vars, kind, diag_kind, markers, height, aspect, corner, dropna, plot_kws, diag_kws, grid_kws, size)
2145 from .distributions import kdeplot # Avoid circular import
2146 plot_kws.setdefault("warn_singular", False)
-> 2147 plotter(kdeplot, **plot_kws)
2148 elif kind == "hist":
2149 from .distributions import histplot # Avoid circular import
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\seaborn\axisgrid.py in map_offdiag(self, func, **kwargs)
1385 """
1386 if self.square_grid:
-> 1387 self.map_lower(func, **kwargs)
1388 if not self._corner:
1389 self.map_upper(func, **kwargs)
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\seaborn\axisgrid.py in map_lower(self, func, **kwargs)
1355 """
1356 indices = zip(*np.tril_indices_from(self.axes, -1))
-> 1357 self._map_bivariate(func, indices, **kwargs)
1358 return self
1359
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\seaborn\axisgrid.py in _map_bivariate(self, func, indices, **kwargs)
1537 if ax is None: # i.e. we are in corner mode
1538 continue
-> 1539 self._plot_bivariate(x_var, y_var, ax, func, **kws)
1540 self._add_axis_labels()
1541
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\seaborn\axisgrid.py in _plot_bivariate(self, x_var, y_var, ax, func, **kwargs)
1577 kwargs.setdefault("hue_order", self._hue_order)
1578 kwargs.setdefault("palette", self._orig_palette)
-> 1579 func(x=x, y=y, **kwargs)
1580
1581 self._update_legend_data(ax)
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\seaborn\_decorators.py in inner_f(*args, **kwargs)
44 )
45 kwargs.update({k: arg for k, arg in zip(sig.parameters, args)})
---> 46 return f(**kwargs)
47 return inner_f
48
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\seaborn\distributions.py in kdeplot(x, y, shade, vertical, kernel, bw, gridsize, cut, clip, legend, cumulative, shade_lowest, cbar, cbar_ax, cbar_kws, ax, weights, hue, palette, hue_order, hue_norm, multiple, common_norm, common_grid, levels, thresh, bw_method, bw_adjust, log_scale, color, fill, data, data2, warn_singular, **kwargs)
1781 else:
1782
-> 1783 p.plot_bivariate_density(
1784 common_norm=common_norm,
1785 fill=fill,
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\seaborn\distributions.py in plot_bivariate_density(self, common_norm, fill, levels, thresh, color, legend, cbar, warn_singular, cbar_ax, cbar_kws, estimate_kws, **contour_kws)
1208 label = contour_kws.pop("label", None)
1209
-> 1210 cset = contour_func(
1211 xx, yy, density,
1212 levels=draw_levels[key],
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\matplotlib\__init__.py in inner(ax, data, *args, **kwargs)
1359 def inner(ax, *args, data=None, **kwargs):
1360 if data is None:
-> 1361 return func(ax, *map(sanitize_sequence, args), **kwargs)
1362
1363 bound = new_sig.bind(ax, *args, **kwargs)
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\matplotlib\axes\_axes.py in contour(self, *args, **kwargs)
6418 def contour(self, *args, **kwargs):
6419 kwargs['filled'] = False
-> 6420 contours = mcontour.QuadContourSet(self, *args, **kwargs)
6421 self._request_autoscale_view()
6422 return contours
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\matplotlib\contour.py in __init__(self, ax, levels, filled, linewidths, linestyles, hatches, alpha, origin, extent, cmap, colors, norm, vmin, vmax, extend, antialiased, nchunk, locator, transform, *args, **kwargs)
775 self._transform = transform
776
--> 777 kwargs = self._process_args(*args, **kwargs)
778 self._process_levels()
779
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\matplotlib\contour.py in _process_args(self, corner_mask, *args, **kwargs)
1364 self._corner_mask = corner_mask
1365
-> 1366 x, y, z = self._contour_args(args, kwargs)
1367
1368 _mask = ma.getmask(z)
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\matplotlib\contour.py in _contour_args(self, args, kwargs)
1434 _api.warn_external('Log scale: values of z <= 0 have been masked')
1435 self.zmin = float(z.min())
-> 1436 self._process_contour_level_args(args)
1437 return (x, y, z)
1438
c:\users\predator\pycharmprojects\study\venv\lib\site-packages\matplotlib\contour.py in _process_contour_level_args(self, args)
1117
1118 if len(self.levels) > 1 and np.min(np.diff(self.levels)) <= 0.0:
-> 1119 raise ValueError("Contour levels must be increasing")
1120
1121 def _process_levels(self):
ValueError: Contour levels must be increasing
